英国谢菲尔德哈勒姆大学博士后职位---AI与机器学习

英国谢菲尔德哈勒姆大学博士后职位---AI与机器学习

谢菲尔德哈勒姆大学（Sheffield Hallam University）建校于1843年，前身为谢菲尔德设计学院，在工业革命中享有近一个世纪的盛名， 从建校伊始，谢菲尔德哈勒姆大学就和工业产业界紧密相连。经过二十世纪两次院校合并和调整，已发展为全英第六大的综合性大学，是中国教育部中英学历学位互认协议中第一批通过的英国大学。由Professor the Lord Winston和Professor Philip Jones分别担任校监和副校监。今天的谢菲尔德哈勒姆大学拥有28000多名学生，和3000多的教职员工。包括接受远程教育的学生在内，我们一共有3000多名海外学生，来自全球八十多个国家和地区，占学生总数的12%。

Researcher in AI & Machine Learning

Sheffield Hallam University

We are looking to recruit an enthusiastic postdoctoral research associate in Artificial Intelligence and Machine Learning who will support the development and application of AI-based techniques to solve real-world problems and build the capacity for AI research in the Department of Engineering and Mathematics at Sheffield Hallam University. Artificial Intelligence is one of the key pillars of growth in both applied research and knowledge exchange within the department, and the successful applicant will be expected to develop and lead their own programme of research with the support of experienced academics.

The purpose of this new role is to support the rapid growth of AI research  within the department and wider university – particularly in fields such as digital health and digitisation of manufacturing processes. We anticipate the successful applicant will develop and apply novel AI-based approaches and machine learning algorithms to solve real-world problems and contribute to the strategic development of this research area. The post holder will have sound knowledge in computer science, data analysis, and software engineering, as well as experience with modern AI approaches in computer vision and / or natural language processing. Knowledge of electronic engineering, embedded systems design, and Internet-of-Things / Industry 4.0 is a plus.

The position requires strong teamwork and communication skills, reliability, attention to detail, effective time management, and the ability to independently lead their own programme of research. Applicants should have a PhD (or be about to complete one) or equivalent experience in Computer Science, Artificial Intelligence, or Computer Systems Engineering including a firm grounding in developing intelligent systems. Candidates with excellent computational and quantitative skills matching the above AI approaches are also encouraged to apply.

The Team

The Electronic Engineering subject group sits within the Department of Engineering and Mathematics in the College of Business, Technology, and  Engineering. We are one of the UK's leading providers of industrially focused engineering, maths, and physics education. We have a vibrant and comprehensive portfolio, strong student recruitment and some of the best teaching, learning and research facilities in the university - benefitting from over £24m of recent STEM investment.

The research associate will join the team at an exciting time, with rapid growth in AI research (as evidenced by a strong return in the recent REF). The Intelligent Systems and AI research within the department is aligned with the Industry and Innovation Research Institute (I2RI) and benefits from significant recent investment in high performance computing resources (including an A100 based GPU cluster). The PDRA will join a vibrant team of academics, researchers, and PhD students - with more than 100 current research students across the Industry and Innovation Research Institute.

Sheffield Hallam welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

For this job we particularly welcome applications from minority ethnic applicants who are underrepresented in this area at Sheffield Hallam.

The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant.

Our benefits

We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment. To find out more, please visit The Hallam Deal: Your Benefits.

Follow @sheffhallamjobs on Twitter for job alerts and information about what makes this a great place to work.

For further details please contact:

Dr Alex Shenfield - a.shenfield@shu.ac.uk - 0114 225 6868

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